20 March 2020, 16.00 – 17.30

HU Berlin Lecture Series on AI: Clemens Stachl (Stanford)

"Combining Mobile Sensing and Machine Learning for Psychological Assessment" (HU main building)

IZBF Lecture Series 2020 "Machine Learning / Intelligent Data Analysis"

Dr. Clemens Stachl, Media and Personality Lab, Stanford University

Abstract: The  increasing  digitization of  our  society  radically
changes  how  scientific  studies  are  being  conducted in  the  field.
In  the  social  sciences,  the analysis  of  online  repositories,
digital footprint data,  and  data  from  in-vivo  high-frequency  mobile
sensing now  allows  for  the  investigation of formerly intangible
psychological constructs. In contrast to past possibilities these methods
enable fine-grained, longitudinal data collections in the  wild, at  large
scale. The combination  with state  of  the  art  machine  learning
methods, provides  a  perspective  for  the  direct  prediction of
psychological traits and behavioral outcomes from these data. In my talk I
will give an  overview  on latest  studies combining machine learning with
mobile sensing.  In  particular, I  will highlight  findings  with regard
to  psychological  assessment  and  discuss the  limitations  of current
approaches. Consequently, I will introduce some of my own work and provide
an outlook perspective on where these developments could take the field.


Mon, 26 October 2020, 16.00 – 17.30 Uhr
„Lehrende, Lernende und Künstliche Intelligenz: Wie kann eine fruchtbare
Interaktion im Klassenraum von morgen aussehen?“ (Teachers, students and
artificial intelligence: What can a fruitful interaction in the classroom
of tomorrow look like?)
Prof. Dr. Nikol Rummel, Pädagogische Psychologie, Institut für
Erziehungswissenschaft, Ruhr-Universität Bochum

*Venue* Humboldt-Universitaet zu Berlin, Unter den Linden 6, 10117 Berlin,
Senatssaal (1st floor)

The Interdisciplinary Center for Educational Research (IZBF),
Humboldt-Universitaet zu Berlin, regularly invites renowned experts to
present theories, methods and findings from the field of educational
research. The lectures are open to the public and are aimed equally at
science, educational policy and educational practice. Machine Learning
(ML), Data Science and Artificial Intelligence (AI) are no longer future
topics. Artificial intelligence and data science are considered to be
central trends and currently important topics that are also increasingly
finding applications in educational contexts.



Humboldt-Universitaet zu Berlin
Unter den Linden 6
10117 Berlin
Senatssaal (1st floor)